19
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Population structure of Apodemus flavicollis and comparison to Apodemus sylvaticus in northern Poland based on RAD-seq

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Mice of the genus Apodemus are one the most common mammals in the Palaearctic region. Despite their broad range and long history of ecological observations, there are no whole-genome data available for Apodemus, hindering our ability to further exploit the genus in evolutionary and ecological genomics context.

          Results

          Here we present results from the double-digest restriction site-associated DNA sequencing (ddRAD-seq) on 72 individuals of A. flavicollis and 10 A. sylvaticus from four populations, sampled across 500 km distance in northern Poland. Our data present clear genetic divergence of the two species, with average p-distance, based on 21377 common loci, of 1.51% and a mutation rate of 0.0011 - 0.0019 substitutions per site per million years. We provide a catalogue of 117 highly divergent loci that enable genetic differentiation of the two species in Poland and to a large degree of 20 unrelated samples from several European countries and Tunisia. We also show evidence of admixture between the three A. flavicollis populations but demonstrate that they have negligible average population structure, with largest pairwise F ST<0.086.

          Conclusion

          Our study demonstrates the feasibility of ddRAD-seq in Apodemus and provides the first insights into the population genomics of the species.

          Related collections

          Most cited references45

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          SNPhylo: a pipeline to construct a phylogenetic tree from huge SNP data

          Background Phylogenetic trees are widely used for genetic and evolutionary studies in various organisms. Advanced sequencing technology has dramatically enriched data available for constructing phylogenetic trees based on single nucleotide polymorphisms (SNPs). However, massive SNP data makes it difficult to perform reliable analysis, and there has been no ready-to-use pipeline to generate phylogenetic trees from these data. Results We developed a new pipeline, SNPhylo, to construct phylogenetic trees based on large SNP datasets. The pipeline may enable users to construct a phylogenetic tree from three representative SNP data file formats. In addition, in order to increase reliability of a tree, the pipeline has steps such as removing low quality data and considering linkage disequilibrium. A maximum likelihood method for the inference of phylogeny is also adopted in generation of a tree in our pipeline. Conclusions Using SNPhylo, users can easily produce a reliable phylogenetic tree from a large SNP data file. Thus, this pipeline can help a researcher focus more on interpretation of the results of analysis of voluminous data sets, rather than manipulations necessary to accomplish the analysis.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Lost in parameter space: a road map for stacks

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Restriction site-associated DNA sequencing, genotyping error estimation and de novo assembly optimization for population genetic inference.

              Restriction site-associated DNA sequencing (RADseq) provides researchers with the ability to record genetic polymorphism across thousands of loci for nonmodel organisms, potentially revolutionizing the field of molecular ecology. However, as with other genotyping methods, RADseq is prone to a number of sources of error that may have consequential effects for population genetic inferences, and these have received only limited attention in terms of the estimation and reporting of genotyping error rates. Here we use individual sample replicates, under the expectation of identical genotypes, to quantify genotyping error in the absence of a reference genome. We then use sample replicates to (i) optimize de novo assembly parameters within the program Stacks, by minimizing error and maximizing the retrieval of informative loci; and (ii) quantify error rates for loci, alleles and single-nucleotide polymorphisms. As an empirical example, we use a double-digest RAD data set of a nonmodel plant species, Berberis alpina, collected from high-altitude mountains in Mexico. © 2014 John Wiley & Sons Ltd.
                Bookmark

                Author and article information

                Contributors
                maria.luisa.martin.cerezo@liu.se
                marek.kucka@tuebingen.mpg.de
                karolzub@ibs.bialowieza.pl
                frank.chan@tuebingen.mpg.de
                j.bryk@hud.ac.uk
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                18 March 2020
                18 March 2020
                2020
                : 21
                : 241
                Affiliations
                [1 ]ISNI 0000 0001 0719 6059, GRID grid.15751.37, School of Applied Sciences, University of Huddersfield, ; Quennsgate, Huddersfield, UK
                [2 ]ISNI 0000 0001 2162 9922, GRID grid.5640.7, AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Department of Zoology, Linköping University, ; Linköping, Sweden
                [3 ]ISNI 0000 0004 0492 0357, GRID grid.418026.9, Friedrich Miescher Laboratory of the Max Planck Society, ; Tübingen, Germany
                [4 ]GRID grid.436277.3, The Mammal Research Institute, Polish Academy of Sciences, ; BiałowieŻa, Poland
                Author information
                http://orcid.org/0000-0002-2791-9709
                Article
                6603
                10.1186/s12864-020-6603-3
                7079423
                32183700
                c44b4c69-7770-4d58-8f6f-98eda9e9912e
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 3 May 2019
                : 21 February 2020
                Funding
                Funded by: University of Huddersfield
                Award ID: NA
                Funded by: FundRef http://dx.doi.org/10.13039/501100004189, Max-Planck-Gesellschaft;
                Award ID: NA
                Funded by: Microsoft Research (US)
                Award ID: CRM:0518338
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Genetics
                rad-seq,genotyping,population structure,rodents,apodemus flavicollis,apodemus sylvaticus
                Genetics
                rad-seq, genotyping, population structure, rodents, apodemus flavicollis, apodemus sylvaticus

                Comments

                Comment on this article